1055 search results - page 107 / 211 » Convex Factorization Machines |
121
Voted
ESANN
2000
15 years 2 months ago
2000
Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
137
Voted
CDC
2008
IEEE
15 years 25 days ago
2008
IEEE
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
96
Voted
KI
2008
Springer
15 years 19 days ago
2008
Springer
To model human concepts of motions is essential for the development of the systems and machines that collaborate with ordinary people on spatiodynamic tasks. This paper applies two...
111
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JMLR
2006
15 years 19 days ago
2006
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
118
click to vote
JMLR
2006
15 years 19 days ago
2006
Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...